Learning Saliency by MRF and Differential Threshold

doi:10.1109/TSMCB.2013.2238927

OPT OpenIR > 光谱成像技术研究室

	Learning Saliency by MRF and Differential Threshold
	Zhu, Guokang; Wang, Qi; Yuan, Yuan; Yan, Pingkun
作者部门	光学影像学习与分析中心
	2013-12-01
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
卷号	43 期号:6 页码:2032-2043
产权排序	1
摘要	Saliency detection has been an attractive topic in recent years. The reliable detection of saliency can help a lot of useful processing without prior knowledge about the scene, such as content-aware image compression, segmentation, etc. Although many efforts have been spent in this subject, the feature expression and model construction are far from perfect. The obtained saliency maps are therefore not satisfying enough. In order to overcome these challenges, this paper presents a new psychologic visual feature based on differential threshold and applies it in a supervised Markov-random-field framework. Experiments on two public data sets and an image retargeting application demonstrate the effectiveness, robustness, and practicability of the proposed method.
文章类型	Article
关键词	Computer Vision Differential Threshold Machine Learning Markov Random Field (Mrf) Saliency Detection Visual Attention
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TSMCB.2013.2238927
收录类别	SCI ; EI
关键词[WOS]	SELECTIVE VISUAL-ATTENTION ; OBJECT RECOGNITION ; REGION DETECTION ; CLUTTERED SCENES ; IMAGE ; COLOR ; SEGMENTATION ; MODEL ; CONTRAST ; CONTEXT
语种	英语
WOS研究方向	Computer Science
项目资助者	National Basic Research Program of China (973 Program)(2011CB707104) ; National Natural Science Foundation of China(61172142 ; Natural Science Foundation Research Project of Shaanxi Province(2012JM8024) ; 50th China Postdoctoral Science Foundation(2011M501487) ; 61172143 ; 61105012 ; 61125106 ; 91120302)
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000327647500042
引用统计	被引频次：27[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/23182
专题	光谱成像技术研究室
作者单位	Chinese Acad Sci, Xian Inst Optic & Precis Mech, State Key Lab Transient Optic & Photon, OPTIMAL, Xian 710119, u, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Guokang,Wang, Qi,Yuan, Yuan,et al. Learning Saliency by MRF and Differential Threshold[J]. IEEE TRANSACTIONS ON CYBERNETICS,2013,43(6):2032-2043.
APA	Zhu, Guokang,Wang, Qi,Yuan, Yuan,&Yan, Pingkun.(2013).Learning Saliency by MRF and Differential Threshold.IEEE TRANSACTIONS ON CYBERNETICS,43(6),2032-2043.
MLA	Zhu, Guokang,et al."Learning Saliency by MRF and Differential Threshold".IEEE TRANSACTIONS ON CYBERNETICS 43.6(2013):2032-2043.

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